3,591 件 ・ 関連度順
概要と使いどころ
Detect and exploit SQL injection vulnerabilities using both manual techniques and automated tools. Use this skill when testing web applications for database injection flaws including UNION-based, error-based, blind boolean, blind time-based, and out-of-band SQL injection. Covers WAF bypass, second-order SQLi, authentication bypass, and full database extraction with sqlmap.
日本語の概要は準備中です。原文の説明を表示しています。
Identify and exploit Prototype Pollution vulnerabilities in JavaScript/Node.js applications. This skill covers the progression from polluting `Object.prototype` to identifying functional gadgets (like `child_process.spawn`) to achieve Remote Code Execution (RCE).
日本語の概要は準備中です。原文の説明を表示しています。
Exploit AI applications using Indirect Prompt Injection. This skill focuses on hiding malicious instructions within data sources (web pages, documents, emails) that the LLM processes, causing the AI to execute unintended actions or leak data without direct user interaction.
日本語の概要は準備中です。原文の説明を表示しています。
LLM prompt injection playbook. Use when testing AI/LLM applications for direct injection, indirect injection via RAG/browsing, tool abuse, data exfiltration, MCP security risks, and defense bypass techniques.
日本語の概要は準備中です。原文の説明を表示しています。
Perform forensic analysis of the macOS Unified Logging System (ULS) to investigate system events, application crashes, kernel panics, and potential indicators of compromise (IoCs) such as persistence mechanisms or unauthorized access.
日本語の概要は準備中です。原文の説明を表示しています。
Identify Open Redirect vulnerabilities where applications route users to arbitrary external URLs based on unvalidated input. Prove maximum impact by chaining Open Redirects with OAuth token theft, SSRF, or Phishing, graduating this typically low-risk finding into a high-severity report.
日本語の概要は準備中です。原文の説明を表示しています。
Mobile SSL pinning bypass playbook. Use when intercepting HTTPS traffic from mobile applications that implement certificate pinning, public key pinning, or SPKI hash pinning on Android and iOS, including React Native, Flutter, and Xamarin frameworks.
日本語の概要は準備中です。原文の説明を表示しています。
Exploit insecure deserialization in Node.js applications (specifically targeting libraries like `node-serialize`) by crafting malicious Immediately Invoked Function Expressions (IIFE) hidden within serialized JSON objects to achieve Remote Code Execution (RCE).
日本語の概要は準備中です。原文の説明を表示しています。
Exploit an application's absolute trust in its underlying LLM (Overreliance). Use this skill to induce critical "hallucinations" (confident falsehoods) that cause downstream logical systems or automated agents tracking the LLM's output to make destructive actions or grant unauthorized access.
日本語の概要は準備中です。原文の説明を表示しています。
HTTP Parameter Pollution (HPP): duplicate query/body keys parsed differently by servers, proxies, WAFs, and app frameworks. Use when filters and application layers disagree on which value wins, enabling bypass, SSRF second URL, logic abuse, or CSRF token confusion.
日本語の概要は準備中です。原文の説明を表示しています。
Exploit insecure handling of the HTTP Host header to poison password resets, generate cache poisoning vectors, or bypass internal routing restrictions. Use this skill when web applications dynamically generate URLs, links, or redirects based on the arbitrary Host header value supplied by the client rather than relying on a static, trusted server configuration.
日本語の概要は準備中です。原文の説明を表示しています。
Exploit implementations of JSON Web Tokens (JWT) through algorithmic confusion (e.g., RS256 to HS256), "none" algorithm attacks, and signature stripping. Use this skill to forge administration tokens and achieve unauthenticated Account Takeover (ATO) on REST APIs and modern web applications.
日本語の概要は準備中です。原文の説明を表示しています。
Test Large Language Models for direct prompt injection vulnerabilities where user input overrides system instructions, extracts system prompts, bypasses safety filters, or causes unauthorized actions. Use this skill when assessing chatbots, AI assistants, LLM-powered tools, or any application that processes natural language input through an LLM. Covers role-playing attacks, instruction hierarchy exploitation, multi-turn manipulation, and context window abuse for comprehensive AI security testing.
日本語の概要は準備中です。原文の説明を表示しています。
JNDI injection playbook. Use when Java applications perform JNDI lookups with attacker-controlled names, especially via Log4j2, Spring, or any code path reaching InitialContext.lookup().
日本語の概要は準備中です。原文の説明を表示しています。
Detect and exploit Insecure Direct Object Reference (IDOR) vulnerabilities in web applications and APIs. Use this skill when testing for unauthorized access to resources by manipulating object identifiers like user IDs, order numbers, file references, or API endpoints. Covers parameter tampering, UUID prediction, hash manipulation, and chained IDOR attacks for maximum impact in bug bounty programs.
日本語の概要は準備中です。原文の説明を表示しています。
Test for indirect prompt injection vulnerabilities where malicious instructions are injected through external data sources (websites, emails, documents, database records) that the LLM processes. Use this skill when assessing LLM-integrated applications that process user-generated content, retrieve web pages, parse emails, or read documents. Covers injection via web content, email bodies, user profiles, and database records that are fed to LLM context.
日本語の概要は準備中です。原文の説明を表示しています。
Identify and exploit Prototype Pollution vulnerabilities in JavaScript applications to achieve client-side Cross-Site Scripting (XSS), bypass authentication, or execute Remote Code Execution (RCE) on Node.js servers by manipulating the core Object prototype.
日本語の概要は準備中です。原文の説明を表示しています。
iOS pentesting playbook. Use when testing iOS applications for keychain extraction, URL scheme hijacking, Universal Links exploitation, runtime manipulation, binary protection analysis, data storage issues, and transport security bypass during authorized mobile security assessments.
日本語の概要は準備中です。原文の説明を表示しています。
HTTP Host header injection and routing abuse playbook. Use when the application trusts the Host header for generating URLs, routing requests, or access control — enabling password reset poisoning, web cache poisoning, SSRF via routing, and virtual host bypass.
日本語の概要は準備中です。原文の説明を表示しています。
Identify and exploit Cross-Site Request Forgery (CSRF) vulnerabilities by bypassing weak or flawed anti-CSRF token implementations, SameSite cookie attributes, and Origin/Referer headers. Use this skill when testing state-changing web application endpoints for session riding attacks. Covers token removal, token fixation, multipart manipulation, and chaining with XSS for complete bypass.
日本語の概要は準備中です。原文の説明を表示しています。
Identify and exploit SQL Injection vulnerabilities in Django applications, specifically focusing on edge cases involving raw querysets (`RawSQL`), improper use of `.extra()`, and poorly sanitized filters where Django's typical ORM protections are bypassed.
日本語の概要は準備中です。原文の説明を表示しています。
Exploit local systems via DLL load order hijacking. This skill details how to identify applications on Windows that insecurely load Dynamic Link Libraries (DLLs) and how to substitute a legitimate DLL with a malicious one to achieve privilege escalation or persistent access.
日本語の概要は準備中です。原文の説明を表示しています。
Identify and exploit default or weak credentials on web application login forms, admin panels, CMS backends (WordPress wp-admin, Joomla, Drupal), and embedded device management interfaces. Signals include framework fingerprinting (WhatWeb, Wappalyzer, Nikto), exposed admin paths from robots.txt/dirbusting, and weak password policy acceptance of "Password1" or "123456". Tools: Burp Suite Intruder, Hydra, Medusa, OWASP ZAP.
日本語の概要は準備中です。原文の説明を表示しています。
DNS rebinding attack playbook. Use when testing applications that trust DNS resolution for origin checks, interact with internal services from browser context, or when SSRF is not possible server-side but the target has client-side fetch/XHR to attacker-controlled domains.
日本語の概要は準備中です。原文の説明を表示しています。